Fast transient stability assessment based on data mining for large-scale power system

Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

Volumn 2005, Issue , 2005, Pages 1-6

  Yu, Zhonghong ^b   Zhou, Xiaoxin ^a,c   Wu, Zhongxi ^a,c  

^a IEEE   (China)

^b CEPRI (Electric Power Research Institute of China)   (China)

^c CEPRI   (China)

Author keywords

Data mining; Support vector machines; Transient stability Assessment

Indexed keywords

FAST TRANSIENT STABILITY; SUPPORT VECTOR MACHINES (SVM); TRANSIENT STABILITY ASSESSMENT (TSA); DATA QUALITY; LEARNING THEORY;

DATA MINING; FEATURE EXTRACTION; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS; PROBLEM SOLVING; REAL TIME SYSTEMS; ELECTRIC FAULT CURRENTS; RISK ASSESSMENT; STATISTICAL METHODS; TRANSIENTS;

ELECTRIC POWER SYSTEMS;

EID: 33746530551     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TDC.2005.1546982     Document Type: Conference Paper

References (6)

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